The modified APPLE score for predicting atrial fibrillation recurrence in patients with hypertension undergoing radiofrequency ablation

The modified APPLE score for predicting atrial fibrillation recurrence in patients with hypertension undergoing radiofrequency ablation. Download PDF Abstract Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, with hypertension representing a significant risk factor. It is necessary to predict the recurrence of AF through models in clinical practice for patients with hypertension and AF.

Methods: A retrospective analysis was conducted on 380 patients who underwent their first ablation procedure. Results: The traditional APPLE score was enhanced by incorporating additional indicators: the Systemic Immune-Inflammation Index (SII), left ventricular mass index (LVMI), body mass index (BMI), age, and estimated glomerular filtration rate (eGFR). The Modified APPLE Score model, achieved superior predictive performance with an AUC of 0.889, significantly outperforming the traditional APPLE score (AUC = 0.856), P = 0.006.

Analysis revealed U-shaped relationships between recurrence risk and both SII and age. LVMI, BMI, and systolic blood pressure were positively correlated with recurrence risk, while eGFR was negatively correlated. Both SII and age showed U-shaped relationships with AF recurrence risk (SII critical values: 400 × 10 5 /L and 750 × 10 9 /L; age critical values: 50 and 70 years), while LVMI, BMI, and systolic blood pressure were positively correlated with recurrence risk, eGFR was negatively correlated.

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